AutomatumData provides high-precision movement data of traffic participants extracted from drone recordings. The dataset is suited for the simulation, validation, and development of automated driving algorithms and for traffic analysis. It was last updated on 2026-04-13.
Use Cases
- Simulate autonomous vehicle behavior based on real-world traffic participant trajectories.
- Validate automated driving functions using high-precision movement data.
- Develop traffic analysis models based on bird's-eye-view drone recordings.
- Train machine learning models for vehicle trajectory prediction.
Strengths
- Data is described as high-precision movement data.
- Data is sourced from drone recordings providing a bird's-eye view.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- AutomatumData
- Collection Method
- Extracted from drone recordings (bird's eye view).
- Time Range
- null
- Freshness
- Last updated 2026-04-13 15:58:23.
- Geography
- null